Emoji Promotes Developer Participation and Issue Resolution on GitHub

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Yuhang, Lu, Xuan, Gao, Ge, Mei, Qiaozhu, Ai, Wei
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computers and Society Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter
di: Zhou, Yuhang, et al.
Pubblicazione: (2024)

The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation
di: Zhou, Yuhang, et al.
Pubblicazione: (2025)

Toxicity Ahead: Forecasting Conversational Derailment on GitHub
di: Imran, Mia Mohammad, et al.
Pubblicazione: (2025)

Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration
di: Kraishan, Obada
Pubblicazione: (2025)

Visual Analysis of GitHub Issues to Gain Insights
di: Proma, Rifat Ara, et al.
Pubblicazione: (2024)

Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance
di: Tardelli, Serena, et al.
Pubblicazione: (2025)

Cross-Cultural Communication in the Digital Age: An Analysis of Cultural Representation and Inclusivity in Emojis
di: Li, Lingfeng, et al.
Pubblicazione: (2024)

Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests
di: Naulty, John, et al.
Pubblicazione: (2025)

Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science
di: Dong, Ziwei, et al.
Pubblicazione: (2024)

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
di: Gao, Ge, et al.
Pubblicazione: (2024)

Participation in the age of foundation models
di: Suresh, Harini, et al.
Pubblicazione: (2024)

Security Concerns in Generative AI Coding Assistants: Insights from Online Discussions on GitHub Copilot
di: Ferreyra, Nicolás E. Díaz, et al.
Pubblicazione: (2026)

The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot
di: Song, Fangchen, et al.
Pubblicazione: (2024)

The Balancing Act of Policies in Developing Machine Learning Explanations
di: Tjaden, Jacob
Pubblicazione: (2025)

From Fitting Participation to Forging Relationships: The Art of Participatory ML
di: Cooper, Ned, et al.
Pubblicazione: (2024)

Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models
di: Cooper, Ned, et al.
Pubblicazione: (2024)

Gendered Inequalities in Online Harms: Fear, Safety Work, and Online Participation
di: Enock, Florence E., et al.
Pubblicazione: (2024)

Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviors
di: Xuan, Wei, et al.
Pubblicazione: (2025)

AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
di: Mohammed, Muzakkiruddin Ahmed, et al.
Pubblicazione: (2026)

AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
di: Zhou, Jiawei, et al.
Pubblicazione: (2025)

Algorithmic Autonomy in Data-Driven AI
di: Wang, Ge, et al.
Pubblicazione: (2024)

XInsight: Integrative Stage-Consistent Psychological Counseling Support Agents for Digital Well-Being
di: Wang, Fei, et al.
Pubblicazione: (2026)

Tides of Memory: Digital Echoes of Netizen Remembran
di: Peng, Lingyu, et al.
Pubblicazione: (2025)

Promoting AI Literacy in Higher Education: Evaluating the IEC-V1 Chatbot for Personalized Learning and Educational Equity
di: Pietrusky, Stefan
Pubblicazione: (2024)

Third-Party Developers and Tool Development For Community Management on Live Streaming Platform Twitch
di: Cai, Jie, et al.
Pubblicazione: (2024)

Development of the Critical Reflection and Agency in Computing Index
di: Padiyath, Aadarsh, et al.
Pubblicazione: (2025)

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
di: Donahue, Kate, et al.
Pubblicazione: (2023)

Datasheets for Machine Learning Sensors
di: Stewart, Matthew, et al.
Pubblicazione: (2023)

Human-Aligned Calibration for AI-Assisted Decision Making
di: Benz, Nina L. Corvelo, et al.
Pubblicazione: (2023)

(Un)fair devices: Moving beyond AI accuracy in personal sensing
di: Yfantidou, Sofia, et al.
Pubblicazione: (2023)

Lessons from Skill Development Programs -- Livelihood College of Dhamtari
di: Choudhury, Arnab Paul, et al.
Pubblicazione: (2026)

Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information
di: Romero, Oscar, et al.
Pubblicazione: (2026)

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
di: Borchers, Conrad, et al.
Pubblicazione: (2026)

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
di: Avvenuti, Marco, et al.
Pubblicazione: (2019)

Towards Standardizing AI Bias Exploration
di: Krasanakis, Emmanouil, et al.
Pubblicazione: (2024)

An Explainable and Fair AI Tool for PCOS Risk Assessment: Calibration, Subgroup Equity, and Interactive Clinical Deployment
di: Khan, Asma Sadia, et al.
Pubblicazione: (2025)

Beyond Predictive Algorithms in Child Welfare
di: Moon, Erina Seh-Young, et al.
Pubblicazione: (2024)

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
di: Ahmed, Md Sabbir, et al.
Pubblicazione: (2025)

Nirvana AI Governance: How AI Policymaking Is Committing Three Old Fallacies
di: Zhang, Jiawei
Pubblicazione: (2024)

Warmth and competence in human-agent cooperation
di: McKee, Kevin R., et al.
Pubblicazione: (2022)